Triple

T7751089
Position Surface form Disambiguated ID Type / Status
Subject Bureau of Aeronautics E175762 entity
Predicate shortName P43 FINISHED
Object BuAer
BuAer was the United States Navy’s Bureau of Aeronautics, the organization responsible for overseeing naval aviation development, procurement, and maintenance.
 E685600 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: BuAer | Statement: [Bureau of Aeronautics, shortName, BuAer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BuAer
Context triple: [Bureau of Aeronautics, shortName, BuAer]
  • A. Aero
    Aero is a high-performance, sport-oriented trim level used by Saab for its 9-3 and other models, typically featuring more powerful engines and upgraded equipment.
  • B. Equair
    Equair is an Ecuadorian airline that operated domestic passenger flights, notably serving routes from Guayaquil and Quito.
  • C. AER
    AER is a leading peer-reviewed academic journal in economics published by the American Economic Association.
  • D. AER
    AER is the three-letter IATA airport code for Sochi International Airport, serving the Black Sea resort city of Sochi in Russia.
  • E. IrAero
    IrAero is a Russian regional airline that operates passenger and cargo flights across Siberia, the Russian Far East, and neighboring countries.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BuAer
Triple: [Bureau of Aeronautics, shortName, BuAer]
Generated description
BuAer was the United States Navy’s Bureau of Aeronautics, the organization responsible for overseeing naval aviation development, procurement, and maintenance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BuAer
Target entity description: BuAer was the United States Navy’s Bureau of Aeronautics, the organization responsible for overseeing naval aviation development, procurement, and maintenance.
  • A. Aero
    Aero is a high-performance, sport-oriented trim level used by Saab for its 9-3 and other models, typically featuring more powerful engines and upgraded equipment.
  • B. Equair
    Equair is an Ecuadorian airline that operated domestic passenger flights, notably serving routes from Guayaquil and Quito.
  • C. AER
    AER is a leading peer-reviewed academic journal in economics published by the American Economic Association.
  • D. AER
    AER is the three-letter IATA airport code for Sochi International Airport, serving the Black Sea resort city of Sochi in Russia.
  • E. IrAero
    IrAero is a Russian regional airline that operates passenger and cargo flights across Siberia, the Russian Far East, and neighboring countries.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c69960b3588190a53aa590d31d9544 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703b264c0819095c37534a676531d completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be576274819092e5ebdbcf2361da completed March 29, 2026, 5:53 a.m.
NEDg Description generation batch_69c8bf141c8081908c33dab4d90943b0 completed March 29, 2026, 5:56 a.m.
NED2 Entity disambiguation (via description) batch_69c8bf8c4bdc81909c74f7b4ec524177 completed March 29, 2026, 5:58 a.m.
Created at: March 27, 2026, 4:08 p.m.